What is the systematic process recommended for validating AI's analytical capabilities?	The Delegation-Diligence loop
What type of data should be used to build confidence in AI analysis before applying it to new data?	Past data where the correct results are already known
What human skill must be applied during testing to identify where AI misses important context or reasoning?	Discernment
According to the lesson, who remains ultimately accountable for checking AI results and ensuring transparency?	The human user/analyst
In the context of data analysis, what does "Description" refer to when interacting with AI?	Providing necessary context, data, or specific instructions to the AI
When analyzing donor giving patterns, what critical factor should the user consider beyond just monetary value?	Relationship factors and long-term sustainability
What is the primary purpose of using the Description-Discernment loop in messaging analysis?	To identify patterns in communications and evaluate AI's analysis against human intuition
What is required when preparing high-stakes data, such as donor records, before analysis?	Sanitizing the data by removing personally identifiable information (PII)
What does the advanced "Trend analysis to anticipate community needs" require?	Combining multiple, diverse data sources (e.g., program data, external reports, news)
If a user is not data-savvy, how can AI assist them in data analysis?	By helping brainstorm solutions, writing Excel formulas, or reformatting messy data